Overview
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
The Fabric Data Engineering Experience & Infrastructure team is hiring a Full Stack Senior Software Engineer to help build LLM-powered data engineering experiences and infrastructure for Fabric Data Engineering. You will help implement agentic workflows and scalable LLM-backed data features (e.g., AI Functions integration, notebook copilots, evaluation/telemetry etc) with advanced capabilities designed to help Data Engineers achieve more through Microsoft Fabric.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Responsibilities
As a Senior Full Stack Software Engineer, you will own and deliver key components end-to-end—from design through production operations—with a focus on developer experience, high-quality UX, and modern AI-assisted workflows across Fabric Data Engineering.
Own end-to-end delivery of one or more critical scenarios across Fabric Data Engineering experiences (e.g., Lakehouse, Notebooks, Spark job experiences, pro‑dev tooling), from requirements architecture implementation rollout
- live-site operations.
-
Build and ship polished, accessible, and performant frontend UX in React/TypeScript, partnering with Design/PM to translate scenarios into clear flows and incremental deliverables (including beyond-chat, structured UI where appropriate).
-
Build and evolve full-stack capabilities that power the UX: service endpoints, orchestration, and integrations that connect the UI to Fabric items/artifacts and execution systems (Spark / notebooks), with strong attention to reliability, latency, and cost.
-
Implement AI-assisted experiences that help data engineers “author outcomes,” including workflows that gather context, propose plans, execute steps, and surface progress/results in a way that builds user trust (clarity, reviewability, reversibility).
-
Contribute to AI-powered developer productivity inside notebooks and data engineering experiences (e.g., copilots, quick actions, AI enrichments), including instrumentation for quality, usage, and performance.
-
Drive engineering excellence: write maintainable code, build automated tests (unit + E2E), participate in code/design reviews, and mentor other engineers through best practices.
-
Operate what you build: contribute to on-call, incident response, telemetry/monitoring, and post-incident improvements; continuously harden system behavior in production.
Embody our culture and values
Qualifications
Required/Minimum Qualifications
- Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
-
4+ years experience in frontend + UX engineering skills: React + TypeScript, accessibility, performance, and building user-centered flows.
-
4+ years experience Backend / full-stack fundamentals: service/API design, debugging distributed systems, reliability/operability, and production ownership
Additional Job Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
-
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
-
Experience building and operating cloud services (Azure preferred), including telemetry, monitoring, experimentation/rollout strategies, and cost/latency awareness.
-
Experience with data engineering concepts and systems (e.g., Spark, notebooks, lakehouse-style workflows) and the needs of professional data engineers.
-
Understanding of modern AI/LLM-assisted product patterns (tool use, grounding, evaluation mindset, trust/safety guardrails) and how to ship these experiences.
Ability to collaborate across disciplines (PM, Design, Research, partner engineering teams) and drive ambiguous problems to crisp execution.
-
#azuredata #frontend, #agents, #data
Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $114,400.00 - CAD $203,900.00 per year.
Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Software Engineering IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400.00 $ CAD à 203,900.00 $ CAD par année.
Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
